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Data Stream Mining & Processing

This book constitutes the proceedings of the third International Conference on Data Stream and Mining and Processing, DSMP 2020, held;

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Database Systems for Advanced Applications

management; indexing and distributed systems; network embedding; trajectory and time series data processing; data mining; query processing and;

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Database Systems for Advanced Applications

; indexing and distributed systems; network embedding; trajectory and time series data processing; data mining; query processing and optimization;

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Data Stream Management

mining. In general, a data stream is an unbounded data set that is produced incrementally over time, rather than being available in full before;

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Advances in Databases and Information Systems

; document and text databases; big data; novel applications; ontologies and knowledge management; process mining and stream processing; data quality;

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Data Streams

network traffic analysis, mining text message streams and processing massive data sets in general. Data Streams surveys the emerging area;

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Advances in Knowledge Discovery and Data Mining

supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and;

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Advances in Knowledge Discovery and Data Mining

supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and;

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Advances in Knowledge Discovery and Data Mining

supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and;

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Managing and Mining Graph Data

Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety;

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Managing and Mining Graph Data

Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety;

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Big Data Analytics and Knowledge Discovery

papers are organized in topical sections similarity measure and clustering; data mining; social computing; heterogeneos networks and data; data;

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Mining of Massive Datasets

the tricks of locality-sensitive hashing and stream-processing algorithms for mining data that arrives too fast for exhaustive processing;

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Large Scale and Big Data

researchers and academics working on databases, data mining, and web scale data processing. After reading this book, you will gain a fundamental;

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Large Scale and Big Data

researchers and academics working on databases, data mining, and web scale data processing. After reading this book, you will gain a fundamental;

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Mining of Massive Datasets

explain the tricks of locality-sensitive hashing and stream processing algorithms for mining data that arrives too fast for exhaustive processing;

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Mastering Kafka Streams and ksqlDB Building realtime data systems by example

Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream;

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Advances on Smart and Soft Computing

, data stream management and analytics, deep learning, data mining applications, information retrieval, cloud computing platforms, parallel;

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Anomaly Detection and Complex Event Processing Over IoT Data Streams

Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents;

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Event Streams in Action

sources, store them in a unified log, and build data processing applications on the resulting event streams. As readers progress through the;

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Data Analytics for Drilling Engineering

This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to;

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Data Analytics for Drilling Engineering

This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to;

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Demand-based Data Stream Gathering, Processing, and Transmission

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Advanced Data Mining and Applications

mining, behavior mining, data stream mining, sequential data mining, web mining, image mining, text mining, social network mining, classification;

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Database and Expert Systems Applications

Privacy; Web Search; Data Clustering; Top-K and Skyline Queries; Data Mining and Big Data; Service Computing; Continuous and Temporal Data, and;

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Database and Expert Systems Applications

Privacy; Web Search; Data Clustering; Top-K and Skyline Queries; Data Mining and Big Data; Service Computing; Continuous and Temporal Data, and;

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Data Mining

This book, Data Mining: The Data Mining Guide for Beginners, Including Applications for Business, Data Mining Techniques, Concepts, and;

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